|Title:||The low hanging fruit is gone|
|Authors :||Laube, Patrick|
|Published in :||SIGSPATIAL Special|
|Publisher / Ed. Institution :||ACM|
|License (according to publishing contract) :||Licence according to publishing contract|
|Type of review:||Peer review (Publication)|
|Subjects :||Computational movement analysis|
|Subject (DDC) :||005: Computer programming, programs and data|
|Abstract:||This position paper reviews the achievements and open challenges of movement analysis within Geographical Information Science. The paper argues that the simple problems of movement analysis have mostly been addressed to a sufficient level ("the low hanging fruit"), leaving the research community with the much more challenging problems for the years ahead ("the high hanging fruit"). Whereas the community has made good progress in structuring trajectory data (segmentation, similarity, clustering) and conceptualizing and detecting movement patterns, the much harder task of semantic annotation of structures and patterns remains difficult. The position paper summarizes both achievements and challenges with two sets assertions and calls for the establishment of a unifying theory of Computational Movement Analysis.|
|Departement:||Life Sciences and Facility Management|
|Organisational Unit:||Institute of Natural Resource Sciences (IUNR)|
|Publication type:||Article in scientific Journal|
|Appears in Collections:||Publikationen Life Sciences und Facility Management|
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